Triple

T18131933
Position Surface form Disambiguated ID Type / Status
Subject John Dehner E434033 entity
Predicate name P16 FINISHED
Object John Dehner NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John Dehner | Statement: [John Dehner, name, John Dehner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dehner
Context triple: [John Dehner, name, John Dehner]
  • A. John Dehner chosen
    John Dehner was an American character actor known for his prolific work in Western films and television series during the mid-20th century.
  • B. Louis Calhern
    Louis Calhern was an American stage and film actor known for his sophisticated character roles in classic Hollywood cinema, including notable performances in films like "The Asphalt Jungle" and "Julius Caesar."
  • C. Robert Healey
    Robert Healey is a name shared by several notable individuals, including an American lawyer and perennial political candidate known for his satirical campaigns.
  • D. Robert Hoyt
    Robert Hoyt is an individual notable enough to be recognized as a prominent bearer of the Hoyt surname.
  • E. Adolphe Menjou
    Adolphe Menjou was an American actor known for his suave, debonair screen persona and prominent roles in early Hollywood films, including both silent and sound-era classics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf2c68881909dfbe59df15ddccc completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.